Triple

T5494416
Position Surface form Disambiguated ID Type / Status
Subject Spider-Man E123778 entity
Predicate hasAlias P455 FINISHED
Object Spidey E123778 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Spidey | Statement: [Spider-Man, hasAlias, Spidey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Spidey
Context triple: [Spider-Man, hasAlias, Spidey]
  • A. Spider-Man chosen
    Spider-Man is a Marvel Comics superhero alter ego of Peter Parker, known for his spider-like abilities, red-and-blue costume, and role as one of the most iconic characters in popular culture.
  • B. Sir Peter Parker
    Sir Peter Parker was a prominent British businessman best known for serving as chairman of the British Railways Board in the late 1970s and early 1980s.
  • C. Spider
    Spider is the protagonist of the science fiction film "Elysium," a character who navigates a starkly divided future society to challenge its oppressive class system.
  • D. Spider
    Spider is a distributed storage engine for MariaDB that enables sharding and horizontal partitioning of tables across multiple servers.
  • E. Spider
    "Spider" is a 2002 psychological drama film directed by David Cronenberg, in which Gabriel Byrne plays a key role in the story of a mentally disturbed man unraveling his traumatic past.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69bd464a2d908190869324ce176779c8 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd9294ea9c8190b394a8528c385ee9 completed March 20, 2026, 6:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf77b725988190b578ca5b3417d980 completed March 22, 2026, 5:01 a.m.
Created at: March 20, 2026, 2:10 p.m.